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ORCIDPo Yang 0001
Person information
- affiliation: University of Sheffield, Department of Computer Science, UK
- affiliation: Liverpool John Moores University, School of Computing and Mathmatic Science, UK
- affiliation (2012 - 2014): University of Bedfordshire, Department of Computer Science, Luton, UK
- affiliation (2010 - 2011): University of Salford, Department of Computer Science, UK
- affiliation (PhD 2010): Staffordshire University, Computer Science Department, Stafford, UK
Other persons with the same name
- Po Yang — disambiguation page
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2020 – today
- 2024
[j89]Tao Li, Minqi Wang, Yuxin Qin, Xiaoting Wu, Dengke Li, Po Yang, Rongjun Ding, Jun Yang:
Distributed virtual simulation experimental software for high-power electric traction system of 600 km/h high-speed maglev train. Adv. Eng. Softw. 192: 103627 (2024)- [j88]Peng Yue, Ziheng Li, Menghui Zhou, Xulong Wang, Po Yang:
Wearable-Sensor-Based Weakly Supervised Parkinson's Disease Assessment with Data Augmentation. Sensors 24(4): 1196 (2024) - [j87]Yuemin Ding
, Zhibo Pang, Po Yang, Kan Yu, Fei Pan:
Guest Editorial of the Special section on Emerging Technologies and Applications of Consumer Electronics for Healthy and Sustainable Life. IEEE Trans. Consumer Electron. 70(1): 2378-2381 (2024) - [j86]Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris:
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. 32(2): 384-398 (2024) - [j85]Kang Liu, Po Yang, Lin Jiao, Rujing Wang, Zhipeng Yuan, Tao Li:
Observer-Based Adaptive Finite-Time Neural Control for Constrained Nonlinear Systems With Actuator Saturation Compensation. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [j84]Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris:
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. 36(9): 4981-4995 (2024) - [j83]Yan Kang, Bin Pu, Yongqi Kou, Yun Yang, Jianguo Chen, Khan Muhammad, Po Yang, Lida Xu, Mohammad Hijji:
A Deep Graph Network with Multiple Similarity for User Clustering in Human-Computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 46:1-46:20 (2024) - [j82]Saba Ghazanfar Ali, Chenxi Zhang, Zhouyu Guan, Tingli Chen, Qiang Wu, Ping Li, Po Yang, Zainab Ghazanfar, Younhyun Jung, Yuting Chen, Bin Sheng, Yih-Chung Tham, Xiangning Wang, Yang Wen:
AI-enhanced digital technologies for myopia management: advancements, challenges, and future prospects. Vis. Comput. 40(6): 3871-3887 (2024) - [c71]Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang:
Alzheimer's Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging. ICIC (LNBI 1) 2024: 3-14 - [c70]Mingchang Xu, Xiyang Peng, Po Yang, Jun Qi, Yun Yang:
An Activity Graph-Based Deep Convolutional Neural Network Framework in Symptom Severity Diagnosis Towards Parkinson's Disease Using Inertial Sensors. ICIC (LNBI 1) 2024: 15-26 - [c69]Ruoling Peng, Kang Liu, Po Yang:
Integrating Human Mobility Quantification into Epidemics Prediction for Effectively Assessing Impact of Transportation. ISIE 2024: 1-6 - [i6]Shanglong Yang, Zhipeng Yuan, Shunbao Li, Ruoling Peng, Kang Liu, Po Yang:
GPT-4 as Evaluator: Evaluating Large Language Models on Pest Management in Agriculture. CoRR abs/2403.11858 (2024) - [i5]Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal, Matthew Back, Daniel Leybourne, Po Yang:
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning. CoRR abs/2404.19748 (2024) - 2023
- [j81]Shuhao Zhang, Gaoshan Bi, Jun Qi, Yun Yang, Xiangzeng Kong, Fengtao Nan, Menghui Zhou, Po Yang:
Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent Application. IEEE Internet Things J. 10(8, April 15): 6742-6755 (2023) - [j80]Yu Zhang, Xulong Wang, Tong Liu, Ruijing Wang, Yang Li, Qing Xue, Po Yang:
Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data. J. Ind. Inf. Integr. 34: 100461 (2023) - [j79]Yu Zhang, Xulong Wang, Tong Liu, Rujing Wang, Yang Li, Qing Xue, Po Yang:
Corrigendum to 'Sustainable fertilisation management via tensor multi-task learning using multi-dimensional agricultural data': [Journal of Industrial Informatic Integration, Vol 34, August (2023) start page-end page]. J. Ind. Inf. Integr. 35: 100508 (2023) - [j78]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Efficient multi-task learning with adaptive temporal structure for progression prediction. Neural Comput. Appl. 35(22): 16305-16320 (2023) - [j77]Kang Liu, Po Yang, Rujing Wang, Lin Jiao, Tao Li, Jie Zhang:
Observer-Based Adaptive Fuzzy Finite-Time Attitude Control for Quadrotor UAVs. IEEE Trans. Aerosp. Electron. Syst. 59(6): 8637-8654 (2023) - [j76]Jose Jaena Mari Ople, Shang-Fu Chen, Yung-Yao Chen, Kai-Lung Hua, Mohammad Hijji, Po Yang, Khan Muhammad:
Controllable Model Compression for Roadside Camera Depth Estimation. IEEE Trans. Intell. Transp. Syst. 24(12): 15478-15485 (2023) - [c68]Menghui Zhou, Yu Zhang, Yun Yang, Tong Liu, Po Yang:
Robust Temporal Smoothness in Multi-Task Learning. AAAI 2023: 11426-11434 - [c67]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. BIBM 2023: 940-943 - [c66]Menghui Zhou, Tong Liu, Xulong Wang, Kang Liu, Yu Zhang, Po Yang:
Integrating Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction. BIBM 2023: 3265-3272 - [c65]Xulong Wang, Menghui Zhou, Yu Zhang, Kang Liu, Jun Qi, Po Yang:
Empirical Analysis of Regularised Multi-Task Learning for Modelling Alzheimer's Disease Progression. BIBM 2023: 4444-4451 - [c64]Tong Liu, Xulong Wang, He Huang, Po Yang:
Weak Regression Enhanced Lifelong Learning for Improved Performance and Reduced Training Data. CIKM 2023: 1587-1596 - [c63]Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang:
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. CIKM 2023: 5285-5288 - [c62]Hongrui Shi, Valentin Radu, Po Yang:
Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning. DistributedML@CoNEXT 2023: 21-26 - [c61]Hongrui Shi, Valentin Radu, Po Yang:
Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems. EuroMLSys@EuroSys 2023: 64-70 - [c60]Ziheng Li, Yuting Zhao, Jun Qi, Xulong Wang, Yun Yang, Po Yang:
Effective Severity Assessment of Parkinson's Disease using Wearable Sensors in Free-living IoT Environment. ICPADS 2023: 900-906 - [c59]Zheyuan Xu, Fengtao Nan, Jun Qi, Yun Yang, Xulong Wang, Po Yang:
Modeling Parkinson's Disease Aided Diagnosis with Multi-Instance Learning: An Effective Approach to Mitigate Label Noise. ICPADS 2023: 936-943 - [c58]Zhipeng Yuan, Kang Liu, Shunbao Li, Po Yang:
Automatic Generation of Visual Concept-based Explanations for Pest Recognition. INDIN 2023: 1-6 - [c57]Kang Liu, Po Yang, Rujing Wang:
Adaptive Low-Computation Neural Network Control of Constrained Nonlinear Systems and Its Application to Agricultural Drones. ISIE 2023: 1-6 - [c56]Liu Tao, Xulong Wang, Fengtao Nan, Jun Qi, Yun Yang, Po Yang:
Effective Severity Assessment of Parkinson's Disease with Wearable Intelligence using Free-living Environment Data. ISIE 2023: 1-10 - [c55]Zhipeng Yuan, Shunbao Li, Ruoling Peng, Daniel Leybourne, Po Yang, Yang Li:
PestDSS: An Integrated Decision Support System for Sustainable Pest Management in Agriculture. ISIE 2023: 1-6 - [c54]Menghui Zhou, Po Yang:
Automatic Temporal Relation in Multi-Task Learning. KDD 2023: 3570-3580 - [c53]Ziheng Li, Xiyang Peng, Yuting Zhao, Xulong Wang, Yun Yang, Po Yang:
A Weakly Supervised Learning Framework for Parkinson's Disease Assessment Using Wearable Sensor. MSN 2023: 813-818 - [c52]Zhipeng Yuan, Nasamu Musa, Katarzyna Dybal, Matthew Back, Daniel Leybourne, Po Yang:
Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning. TrustCom 2023: 2448-2455 - [c51]Malak Alqulaity, Po Yang:
Tabular Generative Adversarial Networks with an Enhanced Sampling Approach for High-Quality Cardiovascular Disease Dataset Generation. TrustCom 2023: 2595-2600 - [c50]Muhammad Senoyodha Brennaf, Po Yang, Vitaveska Lanfranchi:
A Comparative Analysis of Federated Learning Techniques on On-Demand Platforms in Supporting Modern Web Browser Applications. TrustCom 2023: 2601-2606 - [c49]Shifeng Li, Ruoling Peng, Po Yang, Yun Yang:
A Deep Learning Model for Mobility Change Prediction Based on National Prevention and Control Policy. TrustCom 2023: 2607-2614 - [i4]Ruoling Peng, Kang Liu, Po Yang, Zhipeng Yuan, Shunbao Li:
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data. CoRR abs/2308.03107 (2023) - [i3]Xulong Wang, Yu Zhang, Menghui Zhou, Tong Liu, Jun Qi, Po Yang:
Spatio-Temporal Similarity Measure based Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI Data. CoRR abs/2311.03557 (2023) - 2022
- [j75]Saba Ghazanfar Ali, Riaz Ali, Bin Sheng, Yan Chen, Huating Li, Po Yang, Ping Li, Younhyun Jung, Fang Zhu, Ping Lu, Jinman Kim:
Experimental protocol designed to employ Nd: YAG laser surgery for anterior chamber glaucoma detection via UBM. IET Image Process. 16(8): 2171-2179 (2022) - [j74]Ruhan Liu, Liang Ou, Bin Sheng, Pei Hao, Ping Li, Xiaokang Yang, Guangtao Xue, Lei Zhu, Yuyang Luo, Ping Zhang, Po Yang, Huating Li, David Dagan Feng:
Mixed-Weight Neural Bagging for Detecting $m^6A$ Modifications in SARS-CoV-2 RNA Sequencing. IEEE Trans. Biomed. Eng. 69(8): 2557-2568 (2022) - [j73]Jiajia Li, Jie Chen, Bin Sheng, Ping Li, Po Yang, David Dagan Feng, Jun Qi:
Automatic Detection and Classification System of Domestic Waste via Multimodel Cascaded Convolutional Neural Network. IEEE Trans. Ind. Informatics 18(1): 163-173 (2022) - [j72]Po Yang, Congmin Yang, Vitaveska Lanfranchi, Fabio Ciravegna:
Activity Graph Based Convolutional Neural Network for Human Activity Recognition Using Acceleration and Gyroscope Data. IEEE Trans. Ind. Informatics 18(10): 6619-6630 (2022) - [j71]Zhaozhao Tang, Wenyan Wu, Jinliang Gao, Po Yang, Ambreen Hussain, Jingting Luo, Ran Tao, Chen Fu, Tianli Li:
Improving Water Pressure Measurement Using Temperature-Compensated Wireless Passive SAW Bidirectional RDL Pressure Sensor. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [c48]Yu Zhang, Vitaveska Lanfranchi, Xulong Wang, Menghui Zhou, Po Yang:
Modeling Alzheimer's Disease Progression via Amalgamated Magnitude-Direction Brain Structure Variation Quantification and Tensor Multi-task Learning. BIBM 2022: 2735-2742 - [c47]Menghui Zhou, Yu Zhang, Tong Liu, Yun Yang, Po Yang:
Multi-task Learning with Adaptive Global Temporal Structure for Predicting Alzheimer's Disease Progression. CIKM 2022: 2743-2752 - [c46]Yu Zhang, Menghui Zhou, Tong Liu, Vitaveska Lanfranchi, Po Yang:
Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study. EMBC 2022: 979-985 - [c45]Yu Zhang, Tong Liu, Yang Li, Ruijing Wang, He Huang, Po Yang:
Spatio-temporal Tensor Multi-Task Learning for Precision Fertilisation with Real-world Agricultural Data. IECON 2022: 1-6 - [c44]Zhipeng Yuan, Shunbao Li, Po Yang, Yang Li:
Lightweight Object Detection Model with Data Augmentation for Tiny Pest Detection. INDIN 2022: 233-238 - [c43]Xiangchao Chang, Menghui Zhou, Fengtao Nan, Yun Yang, Po Yang:
Analytic Correlation Penalty with Variable Window in Multi-task Learning Disease Progression Model. MSN 2022: 687-691 - [c42]Zhaodong Chen, Fengtao Nan, Yun Yang, Jiayu Wang, Po Yang:
Analysing and Evaluating Complementarity of Multi-Modal Data Fusion in AD Diagnosis. MSN 2022: 835-840 - [c41]Peng Yue, Xiang Wang, Yu Yang, Jun Qi, Po Yang:
Up-Sampling Active Learning: An Activity Recognition Method for Parkinson's Disease Patients. PervasiveHealth 2022: 229-246 - [i2]Hongrui Shi, Valentin Radu, Po Yang:
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning. CoRR abs/2211.03457 (2022) - 2021
- [j70]Yun Yang, Jing Guo, Qiongwei Ye, Yuelong Xia, Po Yang, Amin Ullah, Khan Muhammad:
A weighted multi-feature transfer learning framework for intelligent medical decision making. Appl. Soft Comput. 105: 107242 (2021) - [j69]Dehai Zhang, Xiaoqiang Xia, Yun Yang, Po Yang, Cheng Xie, Menglong Cui, Qing Liu:
A novel word similarity measure method for IoT-enabled Healthcare applications. Future Gener. Comput. Syst. 114: 209-218 (2021) - [j68]Fengtao Nan, Yahui Tang, Po Yang, Zhenli He, Yun Yang:
A novel sub-Kmeans based on co-training approach by transforming single-view into multi-view. Future Gener. Comput. Syst. 125: 831-843 (2021) - [j67]Yun Yang, Jing Guo, Pei Wang, Yaowei Wang, Minghao Yu, Xiang Wang, Po Yang, Liang Sun:
Reservoir hosts prediction for COVID-19 by hybrid transfer learning model. J. Biomed. Informatics 117: 103736 (2021) - [j66]Yun Yang, Fengtao Nan, Po Yang:
Effective multilayer hybrid classification approach for automatic bridge health assessment on large-scale uncertain data. J. Ind. Inf. Integr. 24: 100234 (2021) - [j65]Zhen Pang, Xiang Wang, Xulong Wang, Jun Qi, Zhong Zhao, Yuan Gao, Yun Yang, Po Yang:
A Multi-modal Data Platform for Diagnosis and Prediction of Alzheimer's Disease Using Machine Learning Methods. Mob. Networks Appl. 26(6): 2341-2352 (2021) - [j64]Saba Ghazanfar Ali, Yan Chen, Bin Sheng, Huating Li, Qiang Wu, Po Yang, Khan Muhammad, Geng Yang:
Cost-effective broad learning-based ultrasound biomicroscopy with 3D reconstruction for ocular anterior segmentation. Multim. Tools Appl. 80(28-29): 35105-35122 (2021) - [j63]Rujing Wang, Liu Liu, Chengjun Xie, Po Yang, Rui Li, Man Zhou:
AgriPest: A Large-Scale Domain-Specific Benchmark Dataset for Practical Agricultural Pest Detection in the Wild. Sensors 21(5): 1601 (2021) - [j62]Riaz Ali, Bin Sheng, Ping Li, Yan Chen, Huating Li, Po Yang, Younhyun Jung, Jinman Kim, C. L. Philip Chen:
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening. IEEE Trans. Ind. Informatics 17(4): 2476-2487 (2021) - [j61]Liu Liu, Chengjun Xie, Rujing Wang, Po Yang, Sud Sudirman, Jie Zhang, Rui Li, Fangyuan Wang:
Deep Learning Based Automatic Multiclass Wild Pest Monitoring Approach Using Hybrid Global and Local Activated Features. IEEE Trans. Ind. Informatics 17(11): 7589-7598 (2021) - [j60]Muhammad Nadeem Cheema, Anam Nazir, Po Yang, Bin Sheng, Ping Li, Huating Li, Xiaoer Wei, Jing Qin, Jinman Kim, David Dagan Feng:
Modified GAN-CAED to Minimize Risk of Unintentional Liver Major Vessels Cutting by Controlled Segmentation Using CTA/SPET-CT. IEEE Trans. Ind. Informatics 17(12): 7991-8002 (2021) - [c40]Yu Zhang, Po Yang, Vitaveska Lanfranchi:
Tensor Multi-Task Learning for Predicting Alzheimer's Disease Progression using MRI data with Spatio-temporal Similarity Measurement. INDIN 2021: 1-8 - [c39]Liu Tao, Xiang Wang, Xiyang Peng, Po Yang, Jun Qi, Yun Yang:
Activity Selection to Distinguish Healthy People from Parkinson's Disease Patients Using I-DA. MSN 2021: 66-73 - [c38]Menghui Zhou, Xulong Wang, Yun Yang, Fengtao Nan, Yu Zhang, Jun Qi, Po Yang:
Modeling Disease Progression Flexibly with Nonlinear Disease Structure via Multi-task Learning. MSN 2021: 366-373 - [c37]Shunbao Li, Po Yang, Vitaveska Lanfranchi:
Examing and Evaluating Dimension Reduction Algorithms for Classifying Alzheimer's Diseases using Gene Expression Data. MSN 2021: 687-693 - 2020
- [j59]Ahmad Karambakhsh, Bin Sheng, Ping Li, Po Yang, Younhyun Jung, David Dagan Feng:
VoxRec: Hybrid Convolutional Neural Network for Active 3D Object Recognition. IEEE Access 8: 70969-70980 (2020) - [j58]Koh Song Sang, Bo Zhou, Hui Fang, Po Yang, Zaili Yang, Qiang Yang, Lin Guan, Zhigang Ji:
Real-time deep reinforcement learning based vehicle navigation. Appl. Soft Comput. 96: 106694 (2020) - [j57]Fangyuan Wang, Rujing Wang, Chengjun Xie, Po Yang, Liu Liu:
Fusing multi-scale context-aware information representation for automatic in-field pest detection and recognition. Comput. Electron. Agric. 169: 105222 (2020) - [j56]Xia Meng, Zhen Li, Shan Wang, Ahmad Karambakhsh, Bin Sheng, Po Yang, Ping Li, Lijuan Mao:
A video information driven football recommendation system. Comput. Electr. Eng. 85: 106699 (2020) - [j55]Jun Qi, Po Yang, Lee Newcombe, Xiyang Peng, Yun Yang, Zhong Zhao:
An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure. Inf. Fusion 55: 269-280 (2020) - [j54]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Ping Li, Huating Li, Po Yang, Younhyun Jung, Jing Qin, David Dagan Feng:
SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery. J. Biomed. Informatics 106: 103430 (2020) - [j53]Shin-Jye Lee, Ching-Hsun Tseng, G. T.-R. Lin, Yun Yang, Po Yang, Khan Muhammad, Hari Mohan Pandey:
A dimension-reduction based multilayer perception method for supporting the medical decision making. Pattern Recognit. Lett. 131: 15-22 (2020) - [j52]Bin Cao, Shanshan Fan, Jianwei Zhao, Po Yang, Khan Muhammad, Mohammad Tanveer:
Quantum-enhanced multiobjective large-scale optimization via parallelism. Swarm Evol. Comput. 57: 100697 (2020) - [j51]Bin Cao, Jianwei Zhao, Po Yang, Yu Gu, Khan Muhammad, Joel J. P. C. Rodrigues, Victor Hugo C. de Albuquerque:
Multiobjective 3-D Topology Optimization of Next-Generation Wireless Data Center Network. IEEE Trans. Ind. Informatics 16(5): 3597-3605 (2020) - [j50]Po Yang, Geng Yang, Jing Liu, Jun Qi, Yun Yang, Xulong Wang, Tian Wang:
DUAPM: An Effective Dynamic Micro-Blogging User Activity Prediction Model Towards Cyber-Physical-Social Systems. IEEE Trans. Ind. Informatics 16(8): 5317-5326 (2020) - [j49]Anum Masood, Bin Sheng, Po Yang, Ping Li, Huating Li, Jinman Kim, David Dagan Feng:
Automated Decision Support System for Lung Cancer Detection and Classification via Enhanced RFCN With Multilayer Fusion RPN. IEEE Trans. Ind. Informatics 16(12): 7791-7801 (2020) - [j48]Anam Nazir, Muhammad Nadeem Cheema, Bin Sheng, Huating Li, Ping Li, Po Yang, Younhyun Jung, Jing Qin, Jinman Kim, David Dagan Feng:
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation. IEEE Trans. Image Process. 29: 7192-7202 (2020) - [j47]Yuan Zhang, Yao Guo, Po Yang, Wei Chen, Benny Lo:
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network. IEEE J. Biomed. Health Informatics 24(2): 465-474 (2020) - [j46]Sidra Aleem, Po Yang, Saleha Masood, Ping Li, Bin Sheng:
An accurate multi-modal biometric identification system for person identification via fusion of face and finger print. World Wide Web 23(2): 1299-1317 (2020) - [c36]Zhibo Fu, Han Zhang, Ran Wang, Zhen Li, Po Yang, Bin Sheng, Lijuan Mao:
Dynamic Shadow Rendering with Shadow Volume Optimization. CGI 2020: 96-106 - [c35]Sheng Wang, Saba Ghazanfar Ali, Ping Lu, Zhen Li, Po Yang, Bin Sheng, Lijuan Mao:
GPU-based Grass Simulation with Accurate Blade Reconstruction. CGI 2020: 288-300 - [c34]Zhaozhao Tang, Wenyan Wu, Jinliang Gao, Po Yang, Jingting Luo, Chen Fu:
Water Pressure Monitoring Using a Temperature-Compensated WP-SAW Pressure Sensor. INDIN 2020: 354-357 - [c33]Weiwei Chen, Yun Yang, Po Yang:
HNSleepNet: A Novel Hybrid Neural Network for Home Health-Care Automatic Sleep Staging with Raw Single-Channel EEG. INDIN 2020: 555-560 - [c32]QingNan Li, Yun Yang, Po Yang:
Human activity recognition based on triaxial accelerometer using multi-feature weighted ensemble. INDIN 2020: 561-566 - [c31]Jiwei Xu, Yun Yang, Po Yang:
Hybrid Label Noise Correction Algorithm For Medical Auxiliary Diagnosis. INDIN 2020: 567-572 - [c30]Jiajun Fan, Shipu Wang, Po Yang, Yun Yang:
Multi-View Facial Expression Recognition based o n Multitask Learning and Generative Adversarial Network. INDIN 2020: 573-578 - [c29]Luhui Yang, Qing Liu, Yun Yang, Po Yang:
Traffic sign classification via Semi-Supervised model with uncertain labels. INDIN 2020: 926-931 - [c28]Zhen Pang, Shuhao Zhang, Yun Yang, Jun Qi, Po Yang:
Interoperable Multi-Modal Data Analysis Platform for Alzheimer's Disease Management. ISPA/BDCloud/SocialCom/SustainCom 2020: 1321-1327 - [c27]Xulong Wang, Gaoshan Bi, Yu Zhang, Jun Qi, Yun Yang, Po Yang:
Visual Analysis of Biomarkers Selected via Multi-Task Learning for Modeling Alzheimer's Disease Progression. ISPA/BDCloud/SocialCom/SustainCom 2020: 1328-1333 - [c26]Jun Qi, Hai-Ning Liang, Jianjun Chen, Xiyang Peng, Lee Newcombe, Po Yang:
A Hybrid Hierarchical Model for Accessing Physical Activity Recognition towards Free-living Environments. ISPA/BDCloud/SocialCom/SustainCom 2020: 1342-1347 - [c25]Xiyang Peng, Xiang Wang, Jun Qi, Yun Yang, Jie Li, Po Yang:
Experimental Analysis of Artificial Neural Networks Performance for Accessing Physical Activity Recognition in Daily Life. ISPA/BDCloud/SocialCom/SustainCom 2020: 1348-1353 - [i1]Po Yang, Jun Qi, Xulong Wang, Yun Yang:
MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning. CoRR abs/2009.02827 (2020)
2010 – 2019
- 2019
- [j45]Yun Yang, Fengtao Nan, Po Yang, Qiang Meng, Yingfu Xie, Dehai Zhang, Khan Muhammad:
GAN-Based Semi-Supervised Learning Approach for Clinical Decision Support in Health-IoT Platform. IEEE Access 7: 8048-8057 (2019) - [j44]Liu Liu, Rujing Wang, Chengjun Xie, Po Yang, Fangyuan Wang, Sud Sudirman, Wancai Liu:
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access 7: 45301-45312 (2019) - [j43]Dehai Zhang, Menglong Cui, Yun Yang, Po Yang, Cheng Xie, Di Liu, Beibei Yu, Zhibo Chen:
Knowledge Graph-Based Image Classification Refinement. IEEE Access 7: 57678-57690 (2019) - [j42]Yun Yang, Lijuan Cao, Qing Liu, Po Yang:
A Stacked Multi-Granularity Convolution Denoising Auto-Encoder. IEEE Access 7: 83888-83899 (2019) - [j41]Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang:
Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system. EURASIP J. Wirel. Commun. Netw. 2019: 292 (2019) - [j40]